The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
Unpacking the black box: How to promote citizen engagement through government social media during the COVID-19 crisis
Open accessAbstract
During times of public crises, governments must act swiftly to communicate crisis information effectively and efficiently to members of the public; failure to do so will inevitably lead citizens to become fearful, uncertain and anxious in the prevailing conditions. This pioneering study systematically investigates how Chinese central government agencies used social media to promote citizen engagement during the COVID-19 crisis. Using data scraped from 'Healthy China', an official Sina Weibo account of the National Health Commission of China, we examine how citizen engagement relates to a series of theoretically relevant factors, including media richness, dialogic loop, content type and emotional valence. Results show that media richness negatively predicts citizen engagement through government social media, but dialogic loop facilitates engagement. Information relating to the latest news about the crisis and the government's handling of the event positively affects citizen engagement through government social media. Importantly, all relationships were contingent upon the emotional valence of each Weibo post.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In a pandemic situation, the way health authorities communicate to the population the available information on risks, treatments, vaccination opportunities, or the need for preventive measures may lead to levels of anxiety that determine success or failure to control the current pandemic (Asmundson and Taylor, 2020, Chen et al., 2020).”
From Health-related factors of psychological distress during the COVID-19 pandemic among non-health workers in Spain (2021) · cites this paper as Chen et al., 2020
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Organizational Information Requirements, Media Richness and Structural Design
Daft, R. L., & Lengel, R. H. (1986) · Management Science · doi:10.1287/mnsc.32.5.554 · Cited by 9,868
Uses and Gratifications Research
Katz, E., Blumler, J. G., & Gurevitch, M. (1973) · Public Opinion Quarterly · doi:10.1086/268109 · Cited by 4,012 · cited 2×
“Personal satisfaction with media will directly determine their subsequent media usage (Katz et al., 1973).”
Hilbe, J. M. (2011) · Cambridge University Press eBooks · doi:10.1017/cbo9780511973420 · Cited by 3,352
Message Equivocality, Media Selection, and Manager Performance: Implications for Information Systems
Daft, R. L., Lengel, R. H., & Treviño, L. K. (1987) · MIS Quarterly · doi:10.2307/248682 · Cited by 2,322
Hilbe, J. M. (2007) · Cambridge University Press eBooks · doi:10.1017/cbo9780511811852.007 · Cited by 1,998
Emotion Elicits the Social Sharing of Emotion: Theory and Empirical Review
Rimé, B. (2009) · Emotion Review · doi:10.1177/1754073908097189 · Cited by 1,546 · cited 4×
“Emotion will trigger the social sharing of emotion: individuals will openly talk about the specific environment where the emotional event occurred and their own feelings and emotional response with others, or they will share their own emotions by way of letters, journals and other indirect methods (Rim�e, 2009).”
InfluentialBuilding dialogic relationships through the world wide web
Kent, M. L., & Taylor, M. (1998) · Public Relations Review · doi:10.1016/s0363-8111(99)80143-x · Cited by 1,245
Dialogic Engagement: Clarifying Foundational Concepts
Taylor, M., & Kent, M. L. (2014) · Journal of Public Relations Research · doi:10.1080/1062726x.2014.956106 · Cited by 773
Social Media in Disaster Risk Reduction and Crisis Management
Alexander, D. (2013) · Science and Engineering Ethics · doi:10.1007/s11948-013-9502-z · Cited by 593
Rybalko, S., & Seltzer, T. (2010) · Public Relations Review · doi:10.1016/j.pubrev.2010.08.004 · Cited by 551
Like, comment, and share on Facebook: How each behavior differs from the other
Kim, C., & Yang, S.-U. (2017) · Public Relations Review · doi:10.1016/j.pubrev.2017.02.006 · Cited by 550
Ponte, E. B., Royo, S., & Ratkai, M. (2014) · Government Information Quarterly · doi:10.1016/j.giq.2014.11.001 · Cited by 502
The relationship between Web site design and organizational responsiveness to stakeholders
Kent, M. L., Taylor, M., & White, W. J. (2003) · Public Relations Review · doi:10.1016/s0363-8111(02)00194-7 · Cited by 468
Sturges, D. L. (1994) · Management Communication Quarterly · doi:10.1177/0893318994007003004 · Cited by 391
A set of metrics to assess stakeholder engagement and social legitimacy on a corporate Facebook page
Ponte, E. B., & Ratkai, M. (2013) · Online Information Review · doi:10.1108/oir-03-2012-0054 · Cited by 379
Using social media to enhance citizen engagement with local government: Twitter or Facebook?
de Rosario, A. H., Sáez-Martín, A., & Pérez, M. D. C. C. (2016) · New Media & Society · doi:10.1177/1461444816645652 · Cited by 374
From Newsworthiness to Shareworthiness
Trilling, D., Tolochko, P., & Burscher, B. (2016) · Journalism & Mass Communication Quarterly · doi:10.1177/1077699016654682 · Cited by 372
Zhang, C., Fan, C. H., Yao, W., Hu, X., & Mostafavi, A. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.04.004 · Cited by 301
The role of social media in local government crisis communications
Graham, M., Avery, E. J., & Park, S. (2015) · Public Relations Review · doi:10.1016/j.pubrev.2015.02.001 · Cited by 299
Social media in emergency management: Twitter as a tool for communicating risks to the public
Panagiotopoulos, P., Barnett, J. C., Bigdeli, A. Z., & Sams, S. (2016) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.06.010 · Cited by 277
Beyond liking or following: Understanding public engagement on social networking sites in China
Men, L. R., & Tsai, W. S. (2012) · Public Relations Review · doi:10.1016/j.pubrev.2012.09.013 · Cited by 237
THE BUREAU‐POLITICS OF CRISIS MANAGEMENT
Rosenthal, U., Hart, P. ‘., & Kouzmin, A. (1991) · Public Administration · doi:10.1111/j.1467-9299.1991.tb00791.x · Cited by 229
Twitter as a tool for citizen engagement: An empirical study of the Andalusian municipalities
Ponte, E. B., Perea-Khalifi, D., & Bednárová, M. (2019) · Government Information Quarterly · doi:10.1016/j.giq.2019.03.001 · Cited by 203
Facebook Practices in Western European Municipalities
Ponte, E. B., Royo, S., & Ratkai, M. (2014) · Administration & Society · doi:10.1177/0095399714544945 · Cited by 197
Chatfield, A. T., Scholl, H. J. (., & Brajawidagda, U. (2013) · Government Information Quarterly · doi:10.1016/j.giq.2013.05.021 · Cited by 191
Social presence and digital dialogic communication: engagement lessons from top social CEOs
Men, L. R., Tsai, W. S., Chen, Z. F., & Ji, Y. G. (2018) · Journal of Public Relations Research · doi:10.1080/1062726x.2018.1498341 · Cited by 191
Zavattaro, S. M., French, P. E., & Mohanty, S. D. (2015) · Government Information Quarterly · doi:10.1016/j.giq.2015.03.003 · Cited by 180
Citizen–government collaboration on social media: The case of Twitter in the 2011 riots in England
Panagiotopoulos, P., Bigdeli, A. Z., & Sams, S. (2014) · Government Information Quarterly · doi:10.1016/j.giq.2013.10.014 · Cited by 180
The more attacks, the more retweets: Trump’s and Clinton’s agenda setting on Twitter
Lee, J., & Xu, W. W. (2017) · Public Relations Review · doi:10.1016/j.pubrev.2017.10.002 · Cited by 176
Wang, Y., & Yang, Y. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.106183 · Cited by 174
Agostino, D., & Arnaboldi, M. (2015) · Public Management Review · doi:10.1080/14719037.2015.1100320 · Cited by 168
Reddy, M. C., Paul, S. A., Abraham, J., McNeese, M. D., DeFlitch, C. J., & Yen, J. (2008) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2008.08.003 · Cited by 159
Brubaker, P. J., & Wilson, C. (2018) · Public Relations Review · doi:10.1016/j.pubrev.2018.04.010 · Cited by 143
All hands on deck to tweet #sandy: Networked governance of citizen coproduction in turbulent times
Chatfield, A. T., & Reddick, C. G. (2017) · Government Information Quarterly · doi:10.1016/j.giq.2017.09.004 · Cited by 142
Ji, Y. G., Chen, Z. F., Tao, W., & Li, Z. C. (2018) · Public Relations Review · doi:10.1016/j.pubrev.2018.12.001 · Cited by 141
Jurgens, M., & Helsloot, I. (2018) · Journal of Contingencies and Crisis Management · doi:10.1111/1468-5973.12212 · Cited by 139
Guo, J., Liu, N., Wu, Y. Q., & Zhang, C. (2020) · Information & Management · doi:10.1016/j.im.2020.103286 · Cited by 131
Wirtz, J. G., & Zimbres, T. M. (2018) · Journal of Public Relations Research · doi:10.1080/1062726x.2018.1455146 · Cited by 128
So, J., Prestin, A., Lee, L., Wang, Y., Yen, J., & Chou, W.-Y. S. (2016) · Health Communication · doi:10.1080/10410236.2014.940675 · Cited by 123
Research on Chinese social media users’ communication behaviors during public emergency events
Xie, Y., Qiao, R., Shao, G., & Chen, H. (2016) · Telematics and Informatics · doi:10.1016/j.tele.2016.05.023 · Cited by 123
Wang, Y., Wang, T., Ye, X., Zhu, J., & Lee, J. (2015) · Sustainability · doi:10.3390/su8010025 · Cited by 121
Examining the role of social media in California’s drought risk management in 2014
Tang, Z., Zhang, L., Xu, F., & Vo, H. (2015) · Natural Hazards · doi:10.1007/s11069-015-1835-2 · Cited by 119
Xu, W. W., & Zhang, C. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.07.041 · Cited by 112
Challenges in the adoption of crisis crowdsourcing and social media in Canadian emergency management
Harrison, S., & Johnson, P. A. (2019) · Government Information Quarterly · doi:10.1016/j.giq.2019.04.002 · Cited by 111
Government Social Media Messages across Disaster Phases
Wukich, C. (2016) · Journal of Contingencies and Crisis Management · doi:10.1111/1468-5973.12119 · Cited by 110
Understanding the efficiency of social media based crisis communication during hurricane Sandy
Roy, K. C., Hasan, S., Sadri, A. M., & Cebrián, M. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.102060 · Cited by 110
Elbanna, A. R., Bunker, D., Levine, L., & Sleigh, A. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.01.011 · Cited by 101
Citizen participation, community resilience and crisis-management policy
Stark, A., & Taylor, M. (2014) · Australian Journal of Political Science · doi:10.1080/10361146.2014.899966 · Cited by 99
Pan, P., & Meng, J. (2016) · Journal of Contingencies and Crisis Management · doi:10.1111/1468-5973.12105 · Cited by 96
Gálvez‐Rodríguez, M. D. M., Sáez-Martín, A., García-Tabuyo, M., & Pérez, M. D. C. C. (2018) · Public Relations Review · doi:10.1016/j.pubrev.2018.03.003 · Cited by 91
Network properties and social sharing of emotions in social awareness streams
Kivran-Swaine, F., & Naaman, M. (2011) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/1958824.1958882 · Cited by 84
Kim, D., Chun, H., Kwak, Y., & Nam, Y. (2014) · Social Science Computer Review · doi:10.1177/0894439314525752 · Cited by 84
Social media engagement analysis of U.S. Federal health agencies on Facebook
Bhattacharya, S., Srinivasan, P., & Polgreen, P. M. (2017) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-017-0447-z · Cited by 81
Yue, C. A., Thelen, P. D., Robinson, K. L., & Men, L. R. (2019) · Corporate Communications An International Journal · doi:10.1108/ccij-03-2019-0031 · Cited by 78
Wukich, C., & Mergel, I. A. (2015) · Journal of Homeland Security and Emergency Management · doi:10.1515/jhsem-2014-0074 · Cited by 70
Important tweets matter: Predicting retweets in the #BlackLivesMatter talk on twitter
Keib, K. M., Himelboim, I., & Han, J. Y. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.03.025 · Cited by 69
Retweeting in health promotion: Analysis of tweets about Breast Cancer Awareness Month
Chung, J. E. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.04.025 · Cited by 68
Stakeholder engagement via social media: an analysis of third-party logistics companies
Şakar, G. D., & Surucu-Balci, E. (2018) · Service Industries Journal · doi:10.1080/02642069.2018.1561874 · Cited by 67
Rahim, A. I. A., Ibrahim, M. I., Salim, F. N. A., & Ariffin, M. A. I. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16040591 · Cited by 64
Social Media and Crisis Communications: A Survey of Local Governments in Florida
Neely, S. R., & Collins, M. L. (2018) · Journal of Homeland Security and Emergency Management · doi:10.1515/jhsem-2016-0067 · Cited by 60
Hong, L., Fu, C., Wu, J., & Frías-Martínez, V. (2018) · Information Systems Frontiers · doi:10.1007/s10796-018-9832-0 · Cited by 51
Tweeting about #Diseases and #Publichealth: Communicating Global Health Issues across Nations
Guidry, J. P. D., Meganck, S. L., Lovari, A., Messner, M., Medina-Messner, V., Sherman, S. E., & Adams, J. (2019) · Health Communication · doi:10.1080/10410236.2019.1620089 · Cited by 49
Smoking Prevention in China: A Content Analysis of an Anti-Smoking Social Media Campaign
Jiang, S., & Beaudoin, C. E. (2016) · Journal of Health Communication · doi:10.1080/10810730.2016.1157653 · Cited by 47
The use of YouTube in western European municipalities
Ponte, E. B., & Bednárová, M. (2018) · Government Information Quarterly · doi:10.1016/j.giq.2018.04.001 · Cited by 44
Strategies of social media use in disaster management
Kim, K., Jung, K., & Chilton, K. (2016) · International Journal of Emergency Services · doi:10.1108/ijes-02-2016-0005 · Cited by 35
Meltzer, M., Ștefănescu, L., & Ozunu, A. (2018) · Sustainability · doi:10.3390/su10051411 · Cited by 32
Warning Message Elements and Retweet Counts: An Analysis of Tweets Sent during Hurricane Irma
Wang, W., Haase, T. W., & Yang, C.-H. (2019) · Natural Hazards Review · doi:10.1061/(asce)nh.1527-6996.0000351 · Cited by 26
Liu, W., & Xu, W. W. (2019) · International journal of communication · Cited by 25
Building online citizen engagement for enhancing emergency management in local European government
Gálvez-Rodríguez, M. D. M., Haro-de-Rosario, A., García-Tabuyo, M., & Caba-Pérez, C. (2019) · Online information review (Print) · doi:10.1108/oir-09-2016-0286 · Cited by 22
Exploring repost features of police-generated microblogs through topic and sentiment analysis
Tang, X., Li, S., Gu, N., & Tan, M. (2019) · The Electronic Library · doi:10.1108/el-02-2019-0044 · Cited by 21
Bakker, M. H., van Bommel, M., Kerstholt, J. H., & Giebels, E. (2018) · Journal of Contingencies and Crisis Management · doi:10.1111/1468-5973.12252 · Cited by 19
Lee, C. H., & Yu, H. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3446718 · Cited by 8
Flagged first, then by citations
Research works printed but not linked: 1
- Haro-de-Rosario, 2018, 20, 29
Cited by
Sorted by citations
Dwivedi, Y. K., Hughes, D. L., Coombs, C., Constantiou, I., Duan, Y., Edwards, J. S., Gupta, B., Lal, B., Misra, S., Prashant, P., et al. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102211 · Cited by 1,232
COVID-19 and digital inequalities: Reciprocal impacts and mitigation strategies
Beaunoyer, E., Dupéré, S., & Guitton, M. J. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106424 · Cited by 1,114
Puri, N., Coomes, E. A., Haghbayan, H., & Gunaratne, K. (2020) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2020.1780846 · Cited by 1,229
Social Media Use for Health Purposes: Systematic Review
Chen, J., & Wang, Y. (2021) · Journal of Medical Internet Research · doi:10.2196/17917 · Cited by 1,073
What social media told us in the time of COVID-19: A scoping review
Tsao, S.-F., Chen, H., Tisseverasinghe, T., Yang, Y., Li, L., & Butt, Z. A. (2021) · The Lancet Digital Health · doi:10.1016/s2589-7500(20)30315-0 · Cited by 816
Metadata
- Authors
- Chen, Q., Min, C., Zhang, W., Wang, G., Ma, X., & Evans, R.
- Affiliations
- Xi'an Jiaotong University (CN)
- City University of Hong Kong (HK)
- Huazhong University of Science and Technology (CN)
- Central China Normal University (CN)
- Brunel University of London (GB)
- Corresponding author
- Zhang, Wei
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2020-09
- Volume
- 110
- Pages
- 106380
- ISSN
- 0747-5632 (ISSN-L)
- PMC
- PMC7151317
- OpenAlex
- W3015216621
- Cited by
- 652
- References
- 72
- Citations by year
- 2026: 33 · 2025: 64 · 2024: 90 · 2023: 120 · 2022: 133 · 2021: 164 · 2020: 48
- FWCI
- 139.48
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Computers in Human Behavior (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Brunel University Research Archive (BURA) (Brunel University London) (submittedVersion)
- Funders
- National Social Science Foundation of China (17CXW026)
- Topics
- Social Sciences › Communication › Public Relations and Crisis Communication
- Social Sciences › Communication › Communication and COVID-19 Impact
- Social Sciences › Political Science and International Relations › E-Government and Public Services
- Keywords
- citizen participation, government social media, COVID-19 pandemic, crisis communication, Weibo, media richness, content types, emotional valence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review